Papers
7
Total Citations
64
H-Index
3
About
Rei Unno is a pioneering urological surgeon and researcher whose work sits at the intersection of robotics, imaging, and minimally invasive stone disease management. His primary research areas include robotic-assisted percutaneous nephrolithotomy (PCNL), ultrasound- and fluoroscopy-guided renal access, and advanced ureteral reconstruction. Unno’s most impactful contribution is a landmark randomized clinical trial comparing robotic-assisted fluoroscopic-guided versus ultrasound-guided renal access for PCNL, which has garnered 33 citations and established a new benchmark for procedural precision. He also conducted a foundational benchtop study using a renal phantom model to validate the feasibility of robot-assisted puncture, earning 19 citations. Beyond stone surgery, Unno has explored the utility of three-dimensional CT-based resection process maps for robot-assisted partial nephrectomy, and has evaluated robot-assisted ureteroureterostomy for complex ureteral strictures—a challenging post-lithotripsy complication. His recent reviews on navigation systems, artificial intelligence, and suction access sheaths in PCNL underscore his forward-looking approach. With multiple publications in high-impact urology journals and a growing citation record, Unno is shaping the future of robotic urology, making procedures safer, more reproducible, and more effective for patients worldwide.
Research Focus
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